AI Platform Architect for Agentic Workflows | Equity & PTO

DevExplore; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary plus meaningful-equ

Medical, Dental, and Vision insurance

401(k) plan

Unlimited PTO

Daily lunches and commuter benefits

Job summary

Brain Co. is seeking a senior backend/platform engineer to own the foundations of how LLMs are used, focusing on cost visibility, data privacy, identity, access, routing, and security for the Atlas platform and internal tooling.

You will design the agent architecture, sandboxing, orchestration, audit and guardrail layers, and contribute to multi-tenant, regulated deployments across governments and critical industries.

Qualifications

• 5+ years building backend systems in production with Python/TypeScript/Go/Rust.
• Strong fundamentals in distributed systems including consistency, retries, and failures.
• Proven track record designing and operating APIs, shared infrastructure, or developer-facing services.
• Strong intuition for developer experience and maintainability.
• Experience owning services with uptime, observability stacks, and SLOs.
• Cloud-native experience with Kubernetes, IaC, OAuth/OIDC, and secrets management.

Responsibilities

• Own the foundations of how LLMs are used across the company: cost visibility, data privacy, identity and access, routing, and security posture.
• Design the agent architecture: Build the sandboxing, orchestration, audit, and guardrail layers that product teams build their agents on.
• Solve hard security & infrastructure problems: Prompt-injection defenses, scoped credentials, kill switches, multi-tenant isolation (including VM-level pod isolation), and runaway-cost controls.
• Resource & orchestration modeling: Manage cold-start vs. always-on tradeoffs, credential lifecycles, fan-out/fan-in patterns, and quota enforcement across tenants.
• Make AI-assisted development a first-class platform layer: Build coding agents that review and ship code, automate CI, and refactor at scale as background workers.
• End-to-end ownership: Handle architecture, implementation, rollout, observability, on-call duties, and iteration based on internal feedback.

Skills

Python

TypeScript

Go

Rust

Distributed systems

API design

Observability

SLOs

Tools

Kubernetes

IaC

OAuth/OIDC

Secrets management

Job description

Brain Co. is seeking a senior backend/platform engineer to own the foundations of how LLMs are used, focusing on cost visibility, data privacy, identity, access, routing, and security for the Atlas platform and internal tooling.

You will design the agent architecture, sandboxing, orchestration, audit and guardrail layers, and contribute to multi-tenant, regulated deployments across governments and critical industries.